I bring a strong blend of technical expertise and leadership experience in AI and Data Science, with proficiency in Python and Shell scripting and hands-on experience across deep learning frameworks such as PyTorch, Keras-TensorFlow, and Scikit-learn. My core competencies span Computer Vision, including image preprocessing, classification, semantic and instance segmentation, object detection, OCR, and dataset creation—including synthetic data generation. I have led teams of data scientists and AI researchers on computer vision projects in arthroscopic surgery, delivering models for classification, object detection, and segmentation. In speech processing, I have developed ASR models for Indian languages like Assamese, Mizo, Bengali, and Hindi, leading government-sponsored projects and creating custom speech databases using IVRS. I am also expanding my expertise in NLP and LLMs, including LangChain, Hugging Face, RAG systems, and fine-tuning frameworks. My experience extends to cloud platforms (GCP, AWS, Azure), MLOps & deployment (Docker, MLflow, FastAPI, Streamlit), and databases (MySQL, MongoDB), along with proficiency in data labeling tools such as V7 Darwin, Encord, Roboflow, and Labelbox. Additionally, I have applied AI to specialized projects like image clustering and gait analysis, showcasing a balance of research, development, and practical deployment skills.